Differential Privacy meets Verifiable Computation: Achieving Strong Privacy and Integrity Guarantees
Paper in proceedings, 2019

Often service providers need to outsource computations on sensitive datasets and subsequently publish statistical results over a population of users.
In this setting, service providers want guarantees about the correctness of the computations, while individuals want guarantees that their sensitive information will remain private. Encryption mechanisms are not sufficient to avoid any leakage of information, since querying a database about individuals or requesting summary statistics can lead to leakage of information. Differential privacy addresses the paradox of learning nothing about an individual, while learning useful information about a population. Verifiable computation addresses the challenge of proving the correctness of computations. Although verifiable computation and differential privacy are important tools in this context, their interconnection has received limited attention. In this paper, we address the following question: How can we design a protocol that provides both differential privacy and verifiable computation guarantees for outsourced computations? We formally define the notion of verifiable differentially private computation (VDPC) and what are the minimal requirements needed to achieve VDPC. Furthermore, we propose a protocol that provides verifiable differentially private computation guarantees and discuss its security and privacy properties.

Verifiable Computation

Privacy-preservation

Differential Privacy

Author

Georgia Tsaloli

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Aikaterini Mitrokotsa

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - Volume 2: SECRYPT

Vol. Volume 2: SECRYPT 425-430

16th International Conference on Security and Cryptography, SECRYPT 2019
Prague, Czech Republic,

Areas of Advance

Information and Communication Technology

Subject Categories

Information Science

Computer Science

Computer Systems

DOI

10.5220/0007919404250430

More information

Latest update

11/19/2019